Ge Healthcare
Utilize Data Analytics for Continuous Improvement
Regulatory Compliance and Data Governance
Future of Predictions
Key Takeaways
Leveraging Cloud Analytics
Building Scalable Machine Learning Solutions
Patterns
Quality 
Manufacturing,
healthcare Quality Circles Small groups of employees who meet regularly to discuss and solve work-related problems
...
Risk Analytics (K)
Healthcare: Assists in managing operational risks and ensuring compliance with regulations
...
Utilize Data Analytics for Continuous Improvement Company C
Healthcare Improved patient outcomes by 30% using predictive analytics for resource allocation
...
Regulatory Compliance and Data Governance It encompasses a wide range of sectors, including finance,
healthcare, data protection, and environmental regulations
...GDPR Compliance Framework A framework specifically designed to help organizations comply with the
General Data Protection Regulation (GDPR)
...
Future of Predictions Applications of Predictive Analytics Predictive analytics is being applied across various industries, including:
Healthcare: Predictive models are used to forecast patient admissions, optimize treatment plans, and manage resources
...Key aspects of big data in predictive analytics include: Volume: The sheer amount of data
generated daily provides a rich source for analysis
...
Key Takeaways Healthcare: Analyzing patient data to improve treatment outcomes and operational efficiency
...include: Increased Use of AI: Artificial intelligence will play a significant role in automating data analysis and
generating insights
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Leveraging Cloud Analytics Healthcare Tracking patient outcomes and optimizing resource allocation in hospitals
...Combining cloud analytics with edge computing will enable faster data processing and analysis closer to the source of data
generation
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Building Scalable Machine Learning Solutions Healthcare applications where data privacy is paramount
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Patterns Healthcare: Recognizing patterns in patient data to improve diagnosis and treatment plans
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Utilizing Data Analysis for Crisis Management Key actions included: Using
Geographic Information Systems (GIS) to visualize the spread of the virus
...Implementing predictive models to forecast
healthcare needs and hospital capacities
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